Incidence of cardiovascular diseases and associated risk factors among subjects with type 2 diabetes – An 11-year follow up study

• Main Authors: K. Umamahesh, A. Vigneswari, G. Surya Thejaswi, K. Satyavani, Vijay Viswanathan
• Format: Article
• Language: English
• Published: Elsevier 2014-01-01
• Series: Indian Heart Journal
• Subjects: Cardiovascular disease; Type 2 diabetes; Smoking; Alcohol consumption; India
• Online Access: http://www.sciencedirect.com/science/article/pii/S0019483213003878

Aims: This study was planned to assess the development of cardiovascular disease (CVD) events over an 11-year period and to identify the associated risk factors that could predict the onset of CVD among subjects with type 2 diabetes. Methods: Retrospective data of 249 patients (M:F 149:100) with type 2 diabetes, from a cohort of 7800 patients, attending a tertiary care center for diabetes from January 2000 to December 2011 were retrieved and analyzed for this study. Sociodemographic and habitual risk factors, baseline diabetes duration, HbA1c and time of onset of CVD and its risk factors were collected from case records. Person-years method was used to calculate incident rate of CVD. Binary logistic regression analyses were done to identify predictors associated with CVD and its risk factors. Results: Incidence of CVD among subjects with diabetes was 5.6 cases/1000 person-years. Nearly 60% developed hypertension and dyslipidemia or both during the 11-year period. The most common complication was neuropathy (14.4%). Smoking [OR (95%CI)] [9.26 (1.6–54.9)] (p = 0.014) and heavy alcohol consumption [8.7 (1.1–69.8)] (p = 0.04) were significantly associated with CVD. Higher BMI was significantly associated with hypertension and dyslipidemia [2.4 (1.3–4.3)] (p = 0.003). Conclusions: Smoking and heavy alcohol consumption were significantly associated with CVD, and increased BMI was significantly associated with hypertension and dyslipidemia among subjects with type 2 diabetes in this study population. These findings emphasize the need for early identification and modification of risk factors associated with CVD events in patients with diabetes.